Sven Olek

8.4k citations
77 papers · 6.2k indexed · 3 hit papers · h-index 36

Impact in

  • Immunology top 0.5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways

Papers in

    • Immune Cell Function and Interaction 40
    • T-cell and B-cell Immunology 38
    • Immunotherapy and Immune Responses 10
    • Renal Transplantation Outcomes and Treatments 5

Sven Olek

76 papers receiving 6.1k citations

Hit Papers

DNA methylation controls Foxp3 gene expression 2008 · 615 citations
6152007202620132019250500750

Peers

Sven Olek
Comparison fields: 5 of 110
  • Immunology 4.1k
  • Transplantation 237
  • Immunology and Allergy 299
  • Hepatology 358
  • Oncology 882
Replace Francesco Indiveri with:
Francesco Indiveri Italy
Lauren W. Collison United States
Philippe Saas France
Koichi Yanaba Japan
Liliane Schandené Belgium
Vera Pravica United Kingdom
Yves Renaudineau France
Jean‐David Bouaziz France
Nader Najafian United States
J. Dixon Gray United States
Sven Olek relative to Francesco Indiveri Italy Francesco Indiveri's profile →
Citations per field
00.5×1.5×2.5×
Francesco Indiveri · 1×
Citations per year

Countries citing papers authored by Sven Olek

Since Specialization
Citations

This map shows the geographic impact of Sven Olek's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sven Olek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Olek more than expected).

Fields of papers citing papers by Sven Olek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sven Olek. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sven Olek. The network helps show where Sven Olek may publish in the future.

Co-authors

The 25 scholars most cited alongside Sven Olek, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sven Olek Line = papers co-authored together Sven Olek links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20238
2 20234
3 20217
4 20198
5 201717
6 201612
7 201613
8 201612
9 201544
10 201524
11 201539
12 201484
13 201424
14 2014113
15 201232
16 201059
17 200956
18 200881
19 200650
20 199912

About Sven Olek

Sven Olek is a scholar working on Immunology, Transplantation, Reproductive Medicine, Oncology and Genetics, having authored 77 papers that have together received 6.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (40 papers), T-cell and B-cell Immunology (38 papers), Immunotherapy and Immune Responses (10 papers), Diabetes and associated disorders (7 papers), Renal Transplantation Outcomes and Treatments (5 papers), Epigenetics and DNA Methylation (5 papers), Cancer Immunotherapy and Biomarkers (5 papers) and Ovarian cancer diagnosis and treatment (5 papers). The work is most often cited by research in Immunology (4.1k citations), Transplantation (237 citations), Immunology and Allergy (299 citations), Hepatology (358 citations) and Oncology (882 citations). Sven Olek has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Jochen Huehn, Udo Baron, Stefan Floess, Alf Hamann, Julia K. Polansky, Jennifer Freyer, Georg Wieczorek, Karsten Kretschmer, Stefan Klein-Heßling and Edgar Serfling. Their work appears in journals such as PLoS ONE, European Journal of Immunology, Blood, The Journal of Immunology and Allergy.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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